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Cardiovascular Computing—Methodologies and Clinical Applications

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Cardiovascular Computing—Methodologies and Clinical Applications/ edited by Spyretta Golemati, Konstantina S. Nikita.
other author:	Golemati, Spyretta.
Description:	X, 362 p. 118 illus., 89 illus. in color.online resource. :
Contained By:	Springer Nature eBook
Subject:	Biomedical engineering. -
Online resource:	https://doi.org/10.1007/978-981-10-5092-3
ISBN:	9789811050923

Cardiovascular Computing—Methodologies and Clinical Applications
Cardiovascular Computing—Methodologies and Clinical Applications[electronic resource] /edited by Spyretta Golemati, Konstantina S. Nikita. - 1st ed. 2019. - X, 362 p. 118 illus., 89 illus. in color.online resource. - Series in BioEngineering,2196-8861. - Series in BioEngineering,.

Cardiovascular signals and images -- Analysis of signals and images -- Cardiovascular informatics -- Signals and telemetry -- Sensing informatics and risk prediction -- Modeling, simulation and system study.

This book provides a comprehensive guide to the state-of-the-art in cardiovascular computing and highlights novel directions and challenges in this constantly evolving multidisciplinary field. The topics covered span a wide range of methods and clinical applications of cardiovascular computing, including advanced technologies for the acquisition and analysis of signals and images, cardiovascular informatics, and mathematical and computational modeling.

ISBN: 9789811050923

Standard No.: 10.1007/978-981-10-5092-3doiSubjects--Topical Terms:

588770
Biomedical engineering.

LC Class. No.: R856-857

Dewey Class. No.: 610.28

Cardiovascular Computing—Methodologies and Clinical Applications
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520 $a This book provides a comprehensive guide to the state-of-the-art in cardiovascular computing and highlights novel directions and challenges in this constantly evolving multidisciplinary field. The topics covered span a wide range of methods and clinical applications of cardiovascular computing, including advanced technologies for the acquisition and analysis of signals and images, cardiovascular informatics, and mathematical and computational modeling.
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